通过估算Mini-BES测试分数,轻松评估跌倒风险

Giovanna Sannino, I. D. Falco, G. Pietro
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引用次数: 1

摘要

这项研究的目的是在数学模型的形式下确定生活方式和风险之间的明确关系。该模型从一些个人和行为信息出发,如体重、身高、年龄、体育活动习惯数据和对摔倒的担忧,可以很容易地估计出Mini-Balance Evaluation Systems (Mini-BES)测试的分数。这将使跌倒风险评估的侵入性更小,因为受试者不需要进行经典的Mini-BES测试,而是可以在家中通过回答一些问卷来评估。本文所建立的数学模型已在一组未见对象上进行了测试,结果显示平均误差为±2.74。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Easy fall risk assessment by estimating the Mini-BES test score
The aim of this study is to identify an explicit relationship between life-style and the risk of falling under the form of a mathematical model. Starting from some personal and behavioral information as, e.g., weight, height, age, data about physical activity habits, and concern about falling, the model would easily estimate the score of the Mini-Balance Evaluation Systems (Mini-BES) test. This would make fall risk assessment less invasive, because subjects would not need to undergo the classical Mini-BES test, rather they could estimate it at home by answering some questionnaires. The mathematical model obtained in this study has been tested over a subset of unseen subjects and the results show an average error of ±2.74.
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